EarthVision Geostatistics Module

The EarthVision® Geostatistics module provides 2D and 3D statistical methods for computing grid nodes based on 2D or 3D data, and incorporates the algorithms from Stanford University’s widely-used GSLIB geostatistics software library. Geostatistical models can be calculated conformal or non-conformal to structure, in selected zones and selected fault blocks of advanced structure models built with EarthVision’s powerful Geologic Structure Builder.

The Geostatistics module enables extensive pre-gridding data analysis to help optimize variogram model preparation prior to the kriging calculation. Variance grids can be calculated simultaneously with the estimate grid, and the spatial relationships of the data to be kriged can be analyzed using a number of different variograms and variogram maps, such as traditional semivariogram, covariance, correlogram, general relative, pairwise relative, logarithmic, rodogram, and madogram.

The EarthVision Geostatistics module offers a range of kriging algorithms, including:

  • simple kriging
  • ordinary kriging
  • non-stationary kriging
  • kriging with external drift
  • kriging with a trend (universal kriging)
  • collocated cokriging

LATEST NEWS

EARTHVISION 12

offers greater support for DGI multigrid file visualization; Cloud-native data loading support for select file types; New features and performance around Lidar data; updated Python and DGI Libraries; General visualization changes and enhancements.

ARTICLES & PAPERS

opens in a new windowThe Three-Dimensional Geologic Model Used for the 2003 National Oil and Gas Assessment of the San Joaquin Basin Province, Californiaopens PDF file

by Allegra Hosford Scheirer

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opens in a new windowThree-dimensional Geologic Framework Modeling of Faulted Hydrostratigraphic Unitsopens PDF file

by Michael P. Pantea & James C. Cole
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opens in a new windowCreating 3D Models of Lithologic ⁄ Soil Zones using 3D Gridsopens PDF file

by Skip Pack, Dynamic Graphics, Inc.
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opens in a new windowGravity Calculations from 3D, Geologically Driven Models: A New Approachopens PDF file

by Graham Brew, Dynamic Graphics, Inc.
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opens in a new windowMulti-disciplinary Teamwork Delivers Outstanding Krechba Horizontal Well Performanceopens PDF file

by Foster, L., Aidoo, A., Tourqui, A., Castle-Smith, J., Mezdour, J., & Taylor, M.
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opens in a new windowThree-dimensional Geologic Modeling and Horizontal Drilling Bring More Oilopens PDF file

by Donald D. Clarke & Christopher C. Phillips
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opens in a new window3D Lithofacies Model Building of the Rotliegend Sediments of the NE German Basinopens PDF file

by Moeck, Inga, Heinz-Gerd Holl, & Heinz Schandelmeier
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opens in a new windowHeterogeneity Within the Subducting Pacific Slab Beneath the Izu–Bonin–Mariana Arcopens PDF file

by M.S. Miller, A. Gorbatov, & B.L.N Kennett
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opens in a new windowCharacterisation of the Tectono-Sedimentary Evolution of a Geothermal Reservoiropens PDF file

by Heinz-Gerd Holl, Moeck, Inga, & Heinz Schandelmeier
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opens in a new windowEvolution of Mantle Structure Beneath the Northwest Pacificopens PDF file

by Meghan S. Miller, & Brian L. N. Kennett
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opens in a new windowA Three-Dimensional Model of Water-Bearing Sequences in the Dominguez Gap Regionopens PDF file

by Daniel J. Ponti, Kenneth D. Ehman, etc.
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opens in a new windowThe Influence of an Integrated Remedial System on Groundwater Hydrologyopens PDF file

Prepared by: William H. Schneider Roy F. Weston, Inc., John G. Wrobel U.S. Army Garrison, Aberdeen Proving Ground, Maryland, etc.

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